iPhone 14 Pro
Geekbench AI Score
3554
Single Precision Score
23458
Half Precision Score
26728
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | agurenko |
| Upload Date | August 18 2025 08:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
10251
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
12716
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15675
254.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19182
311.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7059
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
98692
115.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105017
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.4 IPS |
|
|
Object Detection (HP)
|
100% |
13092
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
14795
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3044
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
30442
361.7 IPS |
|
|
Face Detection (Q)
|
100% |
39409
468.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6081
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
75797
584.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
96485
754.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19145
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
183662
236.1 IPS |
|
|
Style Transfer (Q)
|
96% |
181231
233.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4145
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32735
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37947
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2728
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2219
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7655
131.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8464
146.3 IPS |
